Efficient Privacy Auditing for Generative Model via Local Information
This work proposes an empirical privacy assessment framework that leverages local image information, instead of treating images as indivisible wholes, to improve the distinguishability of privacy leakage signals and further leverage the image inpainting interface of diffusion models to perform region-focused auditing i...